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2 results about "Random effects model" patented technology

In statistics, a random effects model, also called a variance components model, is a statistical model where the model parameters are random variables. It is a kind of hierarchical linear model, which assumes that the data being analysed are drawn from a hierarchy of different populations whose differences relate to that hierarchy. In econometrics, random effects models are used in the analysis of hierarchical or panel data when one assumes no fixed effects (it allows for individual effects). The random effects model is a special case of the fixed effects model.

A distortion correction method and device, electronic equipment and storage medium

The application provides a distortion correction method and device, electronic equipment and storage medium, wherein the method comprises: determining actual coordinates corresponding to a plurality of calibration points according to target images obtained by photographing the plurality of calibration points by a target camera; determining principal point coordinates and focal length of the target camera according to the actual coordinates corresponding to the plurality of calibration points; constructing a mixed effect model of the target camera based on the actual coordinates corresponding to the plurality of calibration points, the principal point coordinates and the focal length of the target camera, wherein the mixed effect model comprises a fixed effect model and a random effect model; and performing distortion correction on an imaging area of the target camera through the mixed effect model. The mixed effect model constructed by the application can capture global trends of distortion and correct local residual distortion, thereby achieving high-precision correction of full-field distortion, improving adaptability and robustness of distortion characteristics of different cameras, and being able to adapt to significant differences in regional distortion of large-field cameras.
Owner:NO 63921 UNIT OF PLA

Psychological test data processing method and system based on tangent variational approximation

The application discloses a psychological test data processing method and system based on tangent variational approximation, relates to the technical field of data processing and statistical calculation, and comprises the following steps: obtaining psychological test data, wherein the psychological test data comprises test information, item information and reaction results of the test information to the item information; the test information and the item information are in a cross corresponding relationship; inputting the psychological test data into a pre-established cross random effect model and estimating based on tangent variational approximation to output psychological test data estimation results, wherein the psychological test data estimation results comprise posterior mean and variance of random effects of all testers, posterior mean and variance of random effects of all items, posterior mean and a covariance matrix of fixed effect parameters, and corrected random effect variance component estimation values; and the application improves the test accuracy and efficiency during psychological test.
Owner:SUZHOU UNIV